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Sukrut Rao
Sukrut Rao
Max Planck Institute for Informatics, Saarland Informatics Campus
Verified email at mpi-inf.mpg.de - Homepage
Title
Cited by
Cited by
Year
Adversarial Training Against Location-Optimized Adversarial Patches
S Rao, D Stutz, B Schiele
European Conference on Computer Vision Workshops, 429-448, 2020
712020
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification
VB Sinha, S Rao, VN Balasubramanian
KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) 2018, 2018
332018
Approximation Strategies for Incomplete MaxSAT
S Joshi, P Kumar, R Martins, S Rao
International Conference on Principles and Practice of Constraint …, 2018
242018
Towards Better Understanding Attribution Methods
S Rao, M Böhle, B Schiele
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 10223-10232, 2022
202022
Open-WBO-Inc: Approximation Strategies for Incomplete Weighted MaxSAT
S Joshi, P Kumar, S Rao, R Martins
Journal on Satisfiability, Boolean Modeling and Computation 11 (1), 73-97, 2019
132019
Open-WBO-Inc in MaxSAT Evaluation 2018
S Joshi, P Kumar, V Manquinho, R Martins, A Nadel, S Rao
MaxSAT Evaluation 2018: Solver and Benchmark Descriptions, 16-17, 0
5*
Studying How to Efficiently and Effectively Guide Models with Explanations
S Rao, M Böhle, A Parchami-Araghi, B Schiele
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2*2023
Open-WBO-Inc in MaxSAT Evaluation 2020
S Joshi, P Kumar, S Rao, R Martins
MaxSAT Evaluation 2020, 26, 0
1*
Better Understanding Differences in Attribution Methods via Systematic Evaluations
S Rao, M Böhle, B Schiele
arXiv preprint arXiv:2303.11884, 2023
2023
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